When working with website visitor identification tools like RB2B and third-party platforms, discrepancies in company-level profiling results are common. These differences often arise from variations in identification methodologies, data sources, and configuration settings. This article explores the main causes behind these mismatches and provides actionable solutions to improve alignment when integrating RB2B with third-party tools.
Understanding the Causes of Data Discrepancies
Discrepancies between company-level profiles from RB2B and other platforms are primarily due to the following reasons:
Different Data Sources: Distinct platforms typically rely on unique data pools and identification methods. As a result, the companies identified by each provider will not perfectly align, leading to overlapping data sets combined with unique results on each side.
Varying Identification Techniques: RB2B may prioritize certain identifiers or criteria to detect companies, while third-party platforms may use entirely different recognition approaches. This inherent variation impacts profile matching.
Data Integration Configuration: Improper configuration during integration can result in mismatched data. For instance, if RB2B is configured to share only person-level profiles, the data will not align with platforms that process exclusively company-level profiles.
Steps to Improve Data Alignment
To reduce discrepancies and optimize company-level profile integration between RB2B and third-party platforms, follow these suggestions:
1. Enrich RB2B Data with Third-Party Sources
Enriching RB2B’s data with input from third-party platforms can provide broader coverage, enabling a more comprehensive data set. However, be aware that these differences cannot be entirely eliminated due to the intrinsic variations in data sources and methods.
2. Enable Company-Level Profile Sharing
Ensure that your RB2B settings are adjusted to enable company-level profile sharing when integrating with third-party platforms. If company-level profiles are not enabled, RB2B will default to sharing person-level data, leading to significant mismatches during comparisons.
3. Configure Data Mapping Rules
Work with your integration team to set up clear data mapping rules that ensure consistency in how data fields are interpreted and transferred between platforms. This step can significantly enhance data compatibility and reduce errors.
Practical Tips for Successful Integration
Test Integration Results Frequently: Regularly review the data output from both systems to identify mismatches and address them promptly.
Leverage Support Teams: Contact the support teams of both RB2B and the third-party platform for guidance on optimizing integration settings.
Acknowledge Limitations: Understand that perfect alignment is unlikely due to differing methodologies. Use discrepancies as opportunities to cross-validate data.
Conclusion
Data mismatches between RB2B and third-party platforms are an expected outcome of differing identification methodologies and data sources. By enabling company-level profile sharing, enriching data sources, and configuring integration settings, you can reduce discrepancies and achieve a closer alignment of results. Keep in mind the inherent limitations of integration and use them as a tool to enhance and validate your data.